Glenda Espinal
Impact in
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
- Genetics 13
- Genetics and Neurodevelopmental Disorders 12
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- Mitochondrial Function and Pathology 3
- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 2
- Co-authors
- Paul J. Hagerman (8 shared papers)Randi J. Hagerman (10 shared papers)Isaac N. Pessah (3 shared papers)Flora Tassone (6 shared papers)Kyoungmi Kim (3 shared papers)Craig H. Warden (4 shared papers)Blythe Durbin‐Johnson (3 shared papers)John B. Williamson (1 shared paper)
- Journals
- Acta Neuropathologica Communications (1 paper)Human Molecular Genetics (1 paper)Movement Disorders (1 paper)Journal of Medical Genetics (1 paper)Physiological Genomics (1 paper)
- Partner nations
- United StatesThailandSingapore
In The Last Decade
Glenda Espinal
16 papers receiving 374 citations
Peers
Comparison fields: 5 of 57
- Genetics 286
- Cognitive Neuroscience 163
- Molecular Biology 230
- Cellular and Molecular Neuroscience 56
- Endocrine and Autonomic Systems 18
Countries citing papers authored by Glenda Espinal
This map shows the geographic impact of Glenda Espinal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Glenda Espinal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenda Espinal more than expected).
Fields of papers citing papers by Glenda Espinal
This network shows the impact of papers produced by Glenda Espinal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Glenda Espinal. The network helps show where Glenda Espinal may publish in the future.
Co-authors
The 25 scholars most cited alongside Glenda Espinal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 78 | |
| 2 | 2019 | 56 | |
| 3 | 2019 | 52 | |
| 4 | 2017 | 49 | |
| 5 | 2017 | 46 | |
| 6 | 2007 | 28 | |
| 7 | 2009 | 16 | |
| 8 | 2004 | 16 | |
| 9 | 2017 | 12 | |
| 10 | 2021 | 12 | |
| 11 | 2023 | 3 | |
| 12 | 2009 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2025 | 1 |
About Glenda Espinal
Glenda Espinal is a scholar working on Genetics, Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Surgery, having authored 16 papers that have together received 377 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (12 papers), Autism Spectrum Disorder Research (7 papers), Mitochondrial Function and Pathology (3 papers), Epigenetics and DNA Methylation (2 papers), Genetic Neurodegenerative Diseases (2 papers), Ubiquitin and proteasome pathways (2 papers), Metabolism and Genetic Disorders (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Genetics (286 citations), Cognitive Neuroscience (163 citations), Molecular Biology (230 citations), Cellular and Molecular Neuroscience (56 citations) and Endocrine and Autonomic Systems (18 citations). Glenda Espinal has collaborated with scholars based in United States, Thailand and Singapore. Frequent co-authors include Paul J. Hagerman, Randi J. Hagerman, Isaac N. Pessah, Flora Tassone, Kyoungmi Kim, Craig H. Warden, Blythe Durbin‐Johnson, John B. Williamson, Dalyir Pretto and Susan Hulsizer. Their work appears in journals such as Acta Neuropathologica Communications, Human Molecular Genetics, Movement Disorders, Journal of Medical Genetics and Physiological Genomics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.